Image Edge Detection The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny ...

The quantum image edge detection algorithm is based on quantum state encoding and quantum convolution principles. It maps image pixel information into quantum state vectors and performs feature ...

New research found a way to both improve the accuracy of deepfake detection algorithms while also enhancing fairness.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

First, a video clip, sound bite or image is uploaded into a deepfake detection tool. There, the content is judged by a panel of expert algorithms trained to look for indicators of authenticity.

The development of robotic avatars could benefit from an improvement in how computers detect objects in low-resolution images Just making a small tweak to algorithms typically used to enhance images ...

Looking ahead, MicroAlgo's quantum edge detection algorithm will further expand into areas such as multimodal image fusion, encrypted image analysis, and photonic quantum chip integration ...